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Statistical Analysis Methodology

Report
Testing the Efficacy of Pretrial Diversion: A Randomized Trial at the San Francisco Neighborhood Courts
An evaluation of Neighborhood Court, a restorative justice diversion program, indicates a statistically insignificant reduction in recidivism, positive perceptions of the program among stakeholders, and a public willingness to pay for its features.
Nov 27, 2023
Journal Article
Effect of a Peer Comparison and Educational Intervention on Medical Test Conversation Quality: A Randomized Clinical Trial
Results of this initial trial suggest that future interventions to improve medical test conversations and reduce test overuse might focus on easing physician adoption barriers and leveraging patient-clinician relationships.
Nov 13, 2023
Journal Article
A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data
This paper studies the feasibility of using differentially private (DP) methods to make certain queries while preserving privacy.
Oct 27, 2023
Journal Article
Perspectives on Financing Strategies for Evidence-Based Treatment Implementation in Youth Mental Health Systems
This study collected quantitative and qualitative survey data on how youth mental health system decision-makers viewed financing strategies that support implementation and sustainment of evidence-based treatments.
Oct 13, 2023
Journal Article
National Travel Distances for Emergency Care
The paper examines the travel time/distance between a patient’s actual home address and the ED they visited and how these distances/times vary by hospital and patient characteristics using geocoded data from 50 hospital-based EDs from across the US.
Oct 4, 2023
Journal Article
County-Level Sociodemographic Characteristics and Availability of COVID-19 Therapeutic Drugs
We investigated geospatial patterns of COVID-19 therapeutic drugs to assess possible sociodemographic-based disparities across US counties.
Sep 22, 2023
Journal Article
Evaluation Via Simulation of Statistical Corrections for Network Nonindependence
Many statistical techniques assume independence of data points, but networked data violate this assumption. Our network simulations indicate that eight commonly used techniques intended to correct this problem in networked data fail to do so.
Aug 23, 2023
Journal Article
Disciplinary Trends in the Use of the Delphi Method: A Bibliometric Analysis
The year 2023 marks the 60th anniversary of the first peer-reviewed journal article on the Delphi Method. We used a bibliometric analysis to describe general trends in the expansion of its use across disciplines, driven largely by the medical field.
Aug 17, 2023
Journal Article
Improving the Quality of Written Discharge Instructions: A Multisite Collaborative Project
Participation in this 8-hospital Institute for Healthcare Improvement Virtual Breakthrough Series collaborative was associated with improvement in the quality of written discharge instructions beyond precollaborative trends only for hospitals with high baseline performance.
Aug 16, 2023
Journal Article
Weighting Estimators for Causal Mediation
This chapter presents weighting estimators for causal mediation analysis. We define specific estimands and identifying assumptions; describe estimation methods; and detail relevant R packages for implementing these methods and provide sample code.
Aug 11, 2023
Tool
optic: Simulation Tool for Causal Inference Using Longitudinal Data
This tool, an R package, helps users compare the performance of various causal inference models using their own longitudinal data. Users can select from a variety of simulation options to explore how different state policy evaluation methods perform.
Jul 19, 2023
Journal Article
How Statisticians Should Grapple with Privacy in a Changing Data Landscape
This article discuss the need for statisticians to become better-acquainted with disclosure avoidance methodologies, both traditional approaches and new.
Jul 11, 2023
Journal Article
Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge
This paper presents an in-depth evaluation of differentially private synthetic data sets created for the National Institute of Standards and Technology's "Differential Privacy Synthetic Data Challenge."
Jul 11, 2023
Report
The relationship between research spending and research performance: A cross-country and in-depth study
This study investigates the relationship between spending and research performance through an econometric analysis and also investigates potential nonlinearities in the relationship between spending and performance through a series of case studies.
Feb 22, 2023
Tool
Chesapeake Bay Model Inventory and Selection Tool (MIST)
The Model Inventory and Selection Tool (MIST) is an interactive, searchable database of empirical, statistical, and conceptual models relevant to water- and climate-related planning and decisionmaking in the Chesapeake Bay watershed and beyond.
Jan 19, 2023
News Release
Life Sciences Sector on the Cusp of Realising Game-Changing Potential of Quantum Computing Technologies
While a growing body of evidence shows the possible disruptive impact of quantum technologies across many sectors in the future, until now there has been little study into the potentially transformative impact of quantum computing in the life sciences.
Oct 5, 2022
Report
Using Quantum Computers and Simulators in the Life Sciences: Current Trends and Future Prospects
We analysed the research landscape associated with the application of quantum technologies to the life sciences, highlighting current developments, opportunities and challenges, initiatives, and activities to help enable the ecosystem in the future.
Oct 5, 2022
Journal Article
Predicting Race And Ethnicity To Ensure Equitable Algorithms For Health Care Decision Making
We describe two applications in which imputation of race and ethnicity can help mitigate potential algorithmic biases: equitable disease screening algorithms using machine learning and equitable pay-for-performance incentives.
Aug 23, 2022
Journal Article
Methodological Considerations for Estimating Policy Effects in the Context of Co-Occurring Policies
Researchers conducted simulations to assess how concurrently implemented policies affected the evaluation of hypothetical state-level policies.
Jul 15, 2022
Tool
Toolkit for Weighting and Analysis of Nonequivalent Groups: A Tutorial for the R TWANG Package
This tutorial describes the use of the TWANG package in R to estimate propensity score weights when there are two treatment groups, and how to use TWANG to estimate nonresponse weights.
Jul 7, 2022

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RAND Topic:
Statistical Analysis Methodology

Topic Synonyms:
Statistical Modeling

Researcher Spotlight

Elizabeth Chase

Associate Statistician

Elizabeth Chase (she/her) is an associate statistician at the RAND Corporation. Her methodological interests include Bayesian statistics, survival analysis, longitudinal modeling, statistical shrinkage, and multiple imputation. She has applied these methodologies in substantive work studying…
Feifei Ye

Senior Behavioral and Social Scientist

Feifei Ye (she/her) is a senior behavioral and social scientist at the RAND Corporation. She is a quantitative methodologist and psychometrician with extensive experience in statistical modeling, survey instrument development, and psychometric analysis. She is experienced in analysis of…

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